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Binary Brix 

Associate Data EngineerLocation: Lahore, Onsite Job Type: Full-TimeExperience: 1 to 3Company: SymufolkJob OverviewWe are looking for an Associate Data Engineer to join our data team and support the development, maintenance, and optimization of scalable data pipelines. The ideal candidate should have a strong foundation in Python, SQL, and data engineering concepts with an interest in building modern data solutions.Responsibilities<ul><li>Build and maintain ETL/ELT data pipelines using Python, SQL, and Spark/PySpark</li><li>Ingest, transform, and process data from multiple sources including APIs, databases, and cloud storage</li><li>Work with modern data platforms including Databricks, Snowflake, and cloud-based data warehouses</li><li>Develop reliable data workflows and ensure data quality and accuracy</li><li>Monitor, troubleshoot, and debug data pipelines</li><li>Optimize queries and workflows for better performance and cost efficiency</li><li>Collaborate with Data Analysts, Data Scientists, and Engineering teams to deliver business solutions</li></ul>Required Skills<ul><li>Strong understanding of Python and SQL</li><li>Basic hands-on experience with Spark/PySpark</li><li>Knowledge of ETL/ELT concepts and data pipeline development</li><li>Understanding of databases and data warehouse concepts</li><li>Familiarity with cloud platforms (AWS/Azure/GCP) is a plus</li><li>Good problem-solving and analytical skills</li></ul>Qualification<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Science, IT, or a related field</li></ul>Experience<ul><li>1&ndash;3 years of experience in Data Engineering or related roles</li></ul>Pay: Rs80,000.00 - Rs150,000.00 per monthWork Location: In person

Associate Data Engineer

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>06/15/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>3-6 years
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Lahore
</div></div><div>State/Province
<div>Punjab
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>54000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3> 
<div></div><div> 
<div>FiveRivers Technologies is looking for a proactive and technically strong Support Engineer to join our team. The ideal candidate will be responsible for troubleshooting technical issues, supporting clients, and ensuring smooth system performance.</div><div></div><div> 
Responsibilities 
</div><ul><li>
Responsible for handling all incoming tickets according to defined Service Level Agreements (SLAs). 
</li><li>
Resolve low-to-moderate complexity technical issues using defined tools and processes, such as password resets and functional customer mapping changes. 
</li><li>
Continuously monitor and maintain the data ingestion pipelines, ensuring data quality (completeness, correctness, and freshness) post-implementation. 
</li><li>
Diagnose and resolve data-related issues, including missing/empty tables, incorrect transformations, and unexpected data anomalies. 
</li><li>
Maintain the knowledge base and documentation to support both customers and internal team members.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
Knowledge of supply chain processes and a strong understanding of supply chain workflows in 1-2 ERPs (SAP or Oracle) 
</li><li>
Proficiency in SQL 
</li><li>
Experience with relational databases 
</li><li>
Experience with cloud data infrastructure on AWS or Azure 
</li><li>
Monitor data pipeline errors and proactively resolve them 
</li><li>
Familiarity with DevOps practices, including CI/CD pipelines 
</li><li>
Bachelor&rsquo;s in Computer Science, Engineering, Data Science, or a related field 
</li><li>
Previous experience in a support, data engineering, or a related position involving supporting a SaaS app providing data management, extraction and analysis 
</li><li>
Ability to learn systems and business processes quickly 
</li><li>
Ability to explain technical concepts to non-technical stakeholders. 
</li></ul><div>
Location: Business Hub, DHA phase 8, Lahore.</div></div></div></div>

Senior Support Engineer_01

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a Senior Data Scientist with 4+ years of experience to design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions.
You will play a key role in building robust, interpretable, and production-ready models that support forecasting, optimization, risk analysis, and strategic decision-making across multiple domains. 
Requirements 
 
Machine Learning &amp; Forecasting<ul><li>
Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases.</li><li>
Build and evaluate time-series forecasting solutions using statistical and machine learning approaches.</li><li>
Perform feature engineering including lag variables, rolling statistics, trend decomposition, seasonality analysis, and exogenous variable integration.</li><li>
Develop and benchmark models using techniques such as ARIMA, SARIMA, Prophet, XGBoost, Random Forest, Gradient Boosting, and Neural Networks.</li><li>
Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics.</li></ul>
Data Science &amp; Analytics<ul><li>
Analyze large and complex datasets to identify trends, anomalies, and business opportunities.</li><li>
Perform exploratory data analysis (EDA) and statistical investigations.</li><li>
Design experiments and evaluate model performance using sound statistical methodologies.</li><li>
Build business-focused insights and recommendations from analytical findings.</li></ul>
Production &amp; Deployment<ul><li>
Collaborate with engineering teams to deploy machine learning solutions into production environments.</li><li>
Build scalable data pipelines and automated workflows.</li><li>
Implement model monitoring, drift detection, retraining strategies, and version control.</li><li>
Develop dashboards and reporting solutions using tools such as Power BI, Tableau, or Streamlit.</li></ul>
Collaboration &amp; Leadership<ul><li>
Partner with business, product, and engineering stakeholders to define data-driven solutions.</li><li>
Communicate technical findings to both technical and non-technical audiences.</li><li>
Mentor junior team members and contribute to data science best practices.</li><li>
Participate in architecture discussions and support project delivery initiatives.</li></ul>
Requirements<ul><li>
4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics.</li><li>
Strong experience with time-series forecasting and predictive modeling.</li><li>
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.</li><li>
Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, or similar methods.</li><li>
Strong understanding of statistics, hypothesis testing, feature engineering, and model evaluation.</li><li>
Experience with model validation, cross-validation, and performance metrics (MAPE, MAE, RMSE).</li><li>
Experience working with SQL and large-scale datasets.</li><li>
Familiarity with data pipelines, experimentation frameworks, and analytical environments such as Jupyter or Databricks.</li><li>
Strong communication skills with the ability to present technical insights to business stakeholders.</li><li>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 
</li></ul>
Preferred/Advance Skills<ul><li><ul><li>
Experience in multi-entity and multi-currency financial forecasting environments.
</li><li>Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
</li><li>Experience implementing CI/CD and MLOps frameworks.
</li><li>Exposure to probabilistic forecasting and Bayesian modeling approaches.
</li><li>Knowledge of financial regulations, treasury workflows, and corporate finance processes.</li></ul></li></ul>
Why Join Us<ul><li>
Work on high-impact financial forecasting problems that directly influence strategic decision-making.
</li><li>Lead cutting-edge machine learning initiatives in a mission-critical environment.
</li><li>Collaborate with cross-functional leadership across finance, risk, and engineering.
</li><li>Opportunity to architect scalable ML systems from research to enterprise production.
</li><li>Be part of a culture that values innovation, ownership, and technical excellence.
</li></ul>Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Scientist

Cobblestone Energy

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

Confiz

<div>
 We are seeking an experienced Subject Matter Expert (SME) in Business Intelligence to lead project-based BI initiatives. The successful candidate will be responsible for designing and delivering scalable, cloud-based Business Intelligence solutions that enable data-driven decision-making and measurable business impact.
 
 
 This role requires a strong technical foundation in data engineering and BI architecture, combined with the ability to engage business stakeholders, translate analytical requirements into structured user stories and technical designs, and drive end-to-end BI solution delivery.
 
 
 This role requires working in
 
 Europe time zone
 
 .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and implement a comprehensive Business Intelligence strategy that aligns with our clients&rsquo; business goals and objectives.
 </li>
 <li>
 Lead a team of BI services and delivery , providing guidance and mentorship to ensure the team is meeting expectations and delivering high-quality solutions.
 </li>
 <li>
 Be a subject matter expert in data visualisation for charts, graphs and info-graphics best practices
 </li>
 <li>
 Drive the development of innovative and effective Business Intelligence solutions, leveraging the latest technologies and methodologies.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure that Business Intelligence solutions are integrated with other systems and applications.
 </li>
 <li>
 Establish and maintain strong relationships with clients, understanding their business needs and delivering solutions that meet their expectations.
 </li>
 <li>
 Develop and manage budgets, forecasts, and financial reports related to Business Intelligence initiatives.
 </li>
 <li>
 Monitor and analyze industry trends, technologies, and best practices to identify opportunities for improvement and innovation.
 </li>
 <li>
 Provide regular updates to executive leadership team on the status of Business Intelligence initiatives, including progress, risks, and issues.
 </li>
 <li>
 Foster a culture of continuous improvement, encouraging team members to identify areas for growth and development.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or a related technical field (mandatory).
 </li>
 <li>
 Minimum 6+ years of experience in Business Intelligence, Data Engineering, or Analytics solution delivery with a focus on developing and implementing strategies.
 </li>
 <li>
 A robust portfolio of BI dashboards to showcase the ability to design user-centric BI experiences for business users meeting their reporting needs as recurring users.
 </li>
 <li>
 Strong knowledge of data modelling, data warehousing, and data integration concepts.
 </li>
 <li>
 Experience with multiple Business Intelligence tools such as Power BI or other similar technologies.
 </li>
 <li>
 Proven experience working with Microsoft Azure Cloud
 </li>
 <li>
 Experience working with large-scale structured datasets.
 </li>
 <li>
 Hands-on experience with Databricks for data transformation, processing, and performance optimization.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Effective communication and interpersonal skills, with experience presenting to executive leadership teams.
 </li>
 <li>
 Ability to lead and manage cross-functional teams and drive results in a fast-paced environment.
 </li>
 <li>
 Ability to develop and manage budgets, forecasts, and financial reports.
 </li>
 <li>
 Experience with Agile methodologies is a plus.
 
 
 </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 
 
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM),
 
 ISO 14001:2015
 
 (EMS),
 
 ISO 45001:2018
 
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Business Intelligence Lead

GOFY CANDY

Industrial Engineer &ndash; Job DetailsAn Industrial Engineer is responsible for improving processes, reducing costs, increasing productivity, and ensuring efficient use of resources such as people, materials, equipment, and time. Industrial engineers work in manufacturing, logistics, healthcare, supply chain, construction, and service industries.Key Responsibilities<ul><li>Analyze production and business processes.</li><li>Identify inefficiencies and eliminate waste.</li><li>Design and improve workflows and operational systems.</li><li>Conduct time and motion studies.</li><li>Implement Lean Manufacturing and Six Sigma practices.</li><li>Improve quality control and productivity.</li><li>Optimize inventory, logistics, and supply chain operations.</li><li>Prepare reports, cost analyses, and performance metrics.</li><li>Coordinate with management, production teams, and suppliers.</li><li>Ensure workplace safety and process compliance.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Industrial Engineering or a related engineering field.</li><li>Knowledge of manufacturing and production systems.</li><li>Understanding of Lean Manufacturing, Six Sigma, and quality management.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in Excel, ERP systems, CAD software, or data analysis tools.</li></ul>Important Skills<ul><li>Process improvement</li><li>Data analysis</li><li>Project management</li><li>Communication and teamwork</li><li>Statistical analysis</li><li>Supply chain management</li><li>Time management</li><li>Continuous improvement methodologies (Lean, Six Sigma)</li><li>EXP: 3 TO 5 YEARS IN FOOD SECTOR</li></ul>Work Location: In person

Industrial Engineer FOOD SECTOR

Byonyks Pvt Ltd

We&rsquo;re Hiring! - Quality Engineer (Mechanical) (02 Positions)Location: DHA Phase 3, LahoreExperience: Fresh to 2 yearsDepartment: QA/RA DepartmentPosition Summary:We are seeking a highly motivated and detail-oriented Quality Engineer (Mechanical) to join our Quality Assurance and Regulatory Affairs Department. The ideal candidate will ensure that our medical devices comply with applicable ISO 13485 and FDA 21 CFR Part 820 quality management system (QMS) requirements. This role focuses on process and product quality assurance&mdash;not quality control or calibration activities.Key Responsibilities:<ul><li>Develop, implement, and maintain quality system processes in alignment with ISO 13485 and FDA 21 CFR Part 820 requirements.</li><li>Support the creation, review, and continuous improvement of Standard Operating Procedures (SOPs), work instructions, and quality documentation.</li><li>Participate in risk management activities (e.g., per ISO 14971), including FMEA and design risk analysis.</li><li>Collaborate with cross-functional teams (R&amp;D and Manufacturing) to ensure design and process validation are compliant with regulatory standards.</li><li>Lead and support internal audits and prepare for external audits by regulatory authorities and certification bodies.</li><li>Manage CAPA (Corrective and Preventive Actions), non-conformance investigations, and root cause analyses to prevent recurrence of issues.</li><li>Ensure change control processes are effectively implemented and documented in compliance with regulatory requirements.</li><li>Support document control and ensure that device history records (DHR), design history files (DHF), and technical files are maintained properly.</li><li>Contribute to supplier quality management activities, including supplier qualification, performance monitoring, and audits.</li><li>Participate in post-market surveillance and complaint handling processes as required.</li><li>Assist in regulatory submissions and compliance reviews related to product development and lifecycle management.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Mechanical Engineering or a related engineering discipline.</li><li>Fresh to 3 years of experience in quality assurance within the medical device or regulated manufacturing industry.</li></ul>Skills and Competencies:<ul><li>Excellent documentation skills with the ability to prepare, review, and maintain quality records in compliance with regulatory standards.</li><li>Highly proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) for data analysis, reporting, and documentation.</li><li>Strong analytical and logical thinking capabilities to identify issues, interpret data, and propose effective solutions.</li><li>Highly detail-oriented with exceptional accuracy in reviewing technical and quality-related documentation.</li><li>Excellent attention to detail and organizational skills to ensure compliance with ISO 13485 and FDA 21 CFR Part 820 requirements.</li><li>Logical thinker with the ability to approach problems methodically and ensure sound decision-making based on evidence and data.</li></ul>Why Join Us?<ul><li>Work on cutting-edge R&amp;D projects with real-world impact</li><li>Collaborative and innovation-driven engineering environment</li><li>Fuel Card provided for commuting support</li><li>Comprehensive Health Coverage &ndash; including OPD, IPD, and Life Insurance</li><li>Leave Encashments every quarter</li><li>Opportunities for continuous learning, growth, and cross-functional exposure</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs110,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Quality Engineer (Mechanical)

Explore 187+ Data engineer in Lahore this July. Find roles across top companies and apply now to boost your career.